Automatic Head Model Generation Based on Optimized Local Affine Transform Using Facial Range Scan Data

We propose an automatic 3D human head modeling method using both a frontal facial image and geometry. In general, template mesh fitting methods are used to create a face model from a facial range data obtained by range scanner. However, previous fitting techniques need to manually specify markers to the scanned 3D geometry and to manually correct the 3D geometry of the missing parts that it is impossible to accurately measure the head geometry of the hair region. We therefore complement this region's 3D geometry with the template mesh's one. Our technique can generate the head model that the scanned 3D face geometry and the template mesh's one are seamlessly connected. The computational time of our method is much faster than previous template mesh fitting methods. We therefore conclude that proposed method is effective to create a large amount of head models in game and film industry and an entertainment system.